Please use this identifier to cite or link to this item:
https://repository.iimb.ac.in/handle/2074/11282
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sinha, Ashesh Kumar | |
dc.contributor.author | Krishnamurthy, Ananth | |
dc.date.accessioned | 2020-04-01T13:45:33Z | - |
dc.date.available | 2020-04-01T13:45:33Z | - |
dc.date.issued | 2020 | |
dc.identifier.issn | 1059-1478 | |
dc.identifier.uri | https://repository.iimb.ac.in/handle/2074/11282 | - |
dc.description.abstract | We analyze production and capacity utilization strategies in a supply chain where individual components can be made either at a shared in-house manufacturing facility or at dedicated facilities of external subcontractors. The manufacturer and the subcontractor differ in terms of costs, production capacities, rates, and service level capabilities. Using Markov decision process models, we determine the optimal policy and characterize its structure. We derive the set of conditions that partitions the state space into regions and characterize optimal policies in each region. We derive optimal policies for manufacturer and subcontractors under different settings and show that the optimal policy has a multi-index structure in some settings. © 2019 Production and Operations Management Society | |
dc.publisher | Wiley-Blackwell | |
dc.subject | Markov decision process | |
dc.subject | Multi-component | |
dc.subject | Multi-index policy | |
dc.subject | Subcontractors | |
dc.title | Production and capacity utilization strategies in supply chains for complex engineered products | |
dc.type | Journal Article | |
dc.identifier.doi | 10.1111/poms.13125 | |
dc.pages | 462-480p. | |
dc.vol.no | Vol.29 | - |
dc.issue.no | Iss.2 | |
dc.journal.name | Production and Operations Management | |
Appears in Collections: | 2020-2029 C |
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